research-article

Big Data Opportunities for Disease Outbreaks Detection in Global Mass Gatherings

Authors:

Sultanah M. Alshammari,

Armin M. MiklerAuthors Info & Claims

ICBDE '18: Proceedings of the 2018 International Conference on Big Data and Education

Pages 16 - 21

https://doi.org/10.1145/3206157.3206160

Published: 09 March 2018 Publication History

Abstract

The different mass gatherings occurring all over the world, such as sports and religious events, pose public health concerns due to the increased risk of transmitting infectious diseases in these settings. When these events are concluded, the travel patterns of the returning international participants could further contribute to a rapid spread of infectious diseases causing global epidemics. The need to establish real-time disease outbreak surveillance at global mass gatherings motivates new technologies and advanced computational methods. The rapid expansion of digital devices and access to internet applications among participants in these gatherings generate a massive amount of data. Once being collected and processed, these data along with other health-related data can make significant contributions to improve disease surveillance systems at global mass gatherings. In this paper, we present an overview of the main existing approaches for monitoring outbreaks of infectious diseases in these events and illustrate the perspectives and opportunities of Big Data in these application areas.

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Cited By

Maddah NVerma AAlmashmoum MAinsworth J(2023)Effectiveness of Public Health Digital Surveillance Systems for Infectious Disease Prevention and Control at Mass Gatherings: Systematic ReviewJournal of Medical Internet Research10.2196/4464925(e44649)Online publication date: 19-May-2023
https://doi.org/10.2196/44649
Yan XFang YLi YJia ZZhang B(2022)Risks, Epidemics, and Prevention Measures of Infectious Diseases in Major Sports Events: Scoping ReviewJMIR Public Health and Surveillance10.2196/400428:12(e40042)Online publication date: 2-Dec-2022
https://doi.org/10.2196/40042
Showail A(2022)Solving Hajj and Umrah Challenges Using Information and Communication Technology: A SurveyIEEE Access10.1109/ACCESS.2022.319085310(75404-75427)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3190853
Show More Cited By

Index Terms

Big Data Opportunities for Disease Outbreaks Detection in Global Mass Gatherings
1. Applied computing
  1. Life and medical sciences
    1. Health informatics

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ICBDE '18: Proceedings of the 2018 International Conference on Big Data and Education

March 2018

146 pages

ISBN:9781450363587

DOI:10.1145/3206157

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Florida: University of Florida

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Publication History

Published: 09 March 2018

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ICBDE '18

ICBDE '18: 2018 International Conference on Big Data and Education

March 9 - 11, 2018

HI, Honolulu, USA

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Cited By

Maddah NVerma AAlmashmoum MAinsworth J(2023)Effectiveness of Public Health Digital Surveillance Systems for Infectious Disease Prevention and Control at Mass Gatherings: Systematic ReviewJournal of Medical Internet Research10.2196/4464925(e44649)Online publication date: 19-May-2023
https://doi.org/10.2196/44649
Yan XFang YLi YJia ZZhang B(2022)Risks, Epidemics, and Prevention Measures of Infectious Diseases in Major Sports Events: Scoping ReviewJMIR Public Health and Surveillance10.2196/400428:12(e40042)Online publication date: 2-Dec-2022
https://doi.org/10.2196/40042
Showail A(2022)Solving Hajj and Umrah Challenges Using Information and Communication Technology: A SurveyIEEE Access10.1109/ACCESS.2022.319085310(75404-75427)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3190853
Al-Shaery AHejase BTridane AFarooqi NJassmi H(2021)Agent-Based Modeling of the Hajj Rituals with the Possible Spread of COVID-19Sustainability10.3390/su1312692313:12(6923)Online publication date: 19-Jun-2021
https://doi.org/10.3390/su13126923
Alshammari S(2019)A Data-Driven Computational Framework to Assess the Risk of Epidemics at Global Mass Gatheringsundefined10.12794/metadc1505145Online publication date: May-2019
https://doi.org/10.12794/metadc1505145

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